{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x0Kkh5pE8ZHr"
      },
      "source": [
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mongodb-developer/GenAI-Showcase/blob/main/notebooks/advanced_techniques/geospatialqueries_vectorsearch_spritzes.ipynb)\n",
        "\n",
        "[![View Article](https://img.shields.io/badge/View%20Article-blue)](https://www.mongodb.com/developer/products/mongodb/geospatial-queries-vector-search/)\n",
        "\n",
        "\n",
        "First install your Google Maps library and install OpenAI, since we will need the Google Maps library for our Google Places API and we will need OpenAI to embed our documents.\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZPC7iywA8Qar",
        "outputId": "25b00d74-6e50-4fef-8cfb-1f219acf1040"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting googlemaps\n",
            "  Downloading googlemaps-4.10.0.tar.gz (33 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: requests<3.0,>=2.20.0 in /usr/local/lib/python3.10/dist-packages (from googlemaps) (2.32.3)\n",
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            "Building wheels for collected packages: googlemaps\n",
            "  Building wheel for googlemaps (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for googlemaps: filename=googlemaps-4.10.0-py3-none-any.whl size=40716 sha256=aa9beccb8d49bbfcafd19079f1c0a481c60a44b4f47d62b4a571907d6daaede5\n",
            "  Stored in directory: /root/.cache/pip/wheels/17/f8/79/999d5d37118fd35d7219ef57933eb9d09886c4c4503a800f84\n",
            "Successfully built googlemaps\n",
            "Installing collected packages: googlemaps\n",
            "Successfully installed googlemaps-4.10.0\n",
            "Collecting openai==0.28\n",
            "  Downloading openai-0.28.0-py3-none-any.whl.metadata (13 kB)\n",
            "Requirement already satisfied: requests>=2.20 in /usr/local/lib/python3.10/dist-packages (from openai==0.28) (2.32.3)\n",
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            "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (4.0.3)\n",
            "Downloading openai-0.28.0-py3-none-any.whl (76 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.5/76.5 kB\u001b[0m \u001b[31m3.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: openai\n",
            "Successfully installed openai-0.28.0\n"
          ]
        }
      ],
      "source": [
        "!pip install googlemaps\n",
        "!pip install openai==0.28"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wLxN71eV9UdZ"
      },
      "source": [
        "Let's now pass in our imports. We are going to be including the `getpass` library since we will need it to write in our secret keys."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fdWPgCop9eZZ"
      },
      "outputs": [],
      "source": [
        "import getpass\n",
        "\n",
        "import googlemaps\n",
        "import openai"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BZ1NLQ1o9hJu"
      },
      "source": [
        "Write in your secret keys, we will need to write in our Google API Key and our [OpenAI API Key](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jZiwwq2J9oN_",
        "outputId": "daf92f65-d6d3-4568-c282-87a11127b920"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Put in Google API Key here··········\n",
            "Put in OpenAI API Key here··········\n"
          ]
        }
      ],
      "source": [
        "# google API Key\n",
        "google_api_key = getpass.getpass(prompt=\"Put in Google API Key here\")\n",
        "map_client = googlemaps.Client(key=google_api_key)\n",
        "\n",
        "# openAI API Key\n",
        "openai_api_key = getpass.getpass(prompt=\"Put in OpenAI API Key here\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3sK9KBqX-g45"
      },
      "source": [
        "Now, let's set ourselves up for Vector Search success. First, set your key and then establish our embedding function. For this tutorial, we are using OpenAI's \"text-embedding-3-small\" embedding model. We are going to be embedding the reviews of our spritz locations so we can make some judgements on where to go!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WFdmLPjk-1jb"
      },
      "outputs": [],
      "source": [
        "# set your key\n",
        "openai.api_key = openai_api_key\n",
        "\n",
        "# embedding model we are using\n",
        "EMBEDDING_MODEL = \"text-embedding-3-small\"\n",
        "\n",
        "\n",
        "# our embedding function\n",
        "def get_embedding(text):\n",
        "    response = openai.Embedding.create(input=text, model=EMBEDDING_MODEL)\n",
        "    return response[\"data\"][0][\"embedding\"]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fxZLkeWh-5VS"
      },
      "source": [
        "When using Nearby Search in our Google Maps API, we are required to set up three parameters: location, radius, and keyword. For our location, we can find our starting coordinates (the very middle of West Village) by right clicking on Google Maps and copying the coordinates to our clipboard. That is how I got the coordinates shown below.\n",
        "\n",
        "For our radius, we have to have it in meters. Since I'm not very savvy with meters, let's write a small function to help us make that conversion.\n",
        "\n",
        "Our keyword will just be what we're hoping to find from the Google Places API, aperol spritzes!\n",
        "\n",
        "We can then make our API call using the `places_nearby` method.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "rjeXh_0t_DuN"
      },
      "outputs": [],
      "source": [
        "# for Google Maps API we need to use a radius in meters. Let's first change our miles to meters\n",
        "def miles_to_meters(miles):\n",
        "    return miles * 1609.344\n",
        "\n",
        "\n",
        "middle_of_west_village = (40.73490473393682, -74.00521094160642)\n",
        "search_radius = miles_to_meters(\n",
        "    0.4\n",
        ")  # West Village is small so just do less than half a mile.\n",
        "spritz_finder = \"aperol spritz\"\n",
        "\n",
        "# making the API call using our places_nearby method and our parameters\n",
        "response = map_client.places_nearby(\n",
        "    location=middle_of_west_village, radius=search_radius, keyword=spritz_finder\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DD6xRtVvAhW7"
      },
      "source": [
        "Before we can go ahead and print out our locations, let's think about our end goal. We want to achieve a couple of things before we insert our documents into our MongoDB Atlas cluster. We want to:\n",
        "1. Get detailed information about our locations, so we need to make another API call to get our `place_id`, the location `name`, our `formatted_address`, the `geometry`, some `reviews` (only up to 5), and the location `rating`. You can find more fields to return (if your heart desires!) from the [Nearby Search documentation](https://developers.google.com/maps/documentation/places/web-service/search-nearby)\n",
        "\n",
        "2. Then, we want to embed our reviews for each location using our embedding function. We want to make sure that we have a field for these so our vectors are stored in an array inside of our cluster. We are choosing to embed here just to make things easier for ourselves in the long run. Let's also join all the five reviews together into one string to make things a bit easier on ourselves with the embedding.\n",
        "\n",
        "3. While we're creating our dictionary with all the important information we want to portray, we need to think about how our coordinates are set up. MongoDB Geospatial Queries requires GeoJSON format. This means we need to make sure we have the proper format, or else we won't be able to use our Geospatial Queries operators later. We also need to keep in mind that the longitude and latitude is stored in a nested array underneath geometry and location inside of our Google Places API. So, we unfortunatly can't just access it out, we need to work some magic first. Here is an example output of what I copied from the documentation:\n",
        "```\n",
        "{\n",
        "  \"html_attributions\": [],\n",
        "  \"results\":\n",
        "    [\n",
        "      {\n",
        "        \"business_status\": \"OPERATIONAL\",\n",
        "        \"geometry\":\n",
        "          {\n",
        "            \"location\": { \"lat\": -33.8587323, \"lng\": 151.2100055 },\n",
        "            \"viewport\":\n",
        "              {\n",
        "                \"northeast\":\n",
        "                  { \"lat\": -33.85739847010727, \"lng\": 151.2112436298927 },\n",
        "                \"southwest\":\n",
        "                  { \"lat\": -33.86009812989271, \"lng\": 151.2085439701072 },\n",
        "              },\n",
        "\n",
        "```\n",
        "\n",
        "With all this in mind, let's get to it:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-IzRFK3lCqBi"
      },
      "outputs": [],
      "source": [
        "# find information we want: use the Nearby Places documentation to figure out which fields you want\n",
        "spritz_locations = []\n",
        "for location in response.get(\"results\", []):\n",
        "    location_detail = map_client.place(\n",
        "        place_id=location[\"place_id\"],\n",
        "        fields=[\"name\", \"formatted_address\", \"geometry\", \"reviews\", \"rating\"],\n",
        "    )\n",
        "\n",
        "    # these are the specific details we want to be saved as fields in our documents\n",
        "    details = location_detail.get(\"result\", {})\n",
        "\n",
        "    # we want to embed the five reviews so lets extract and join together\n",
        "    location_reviews = details.get(\"reviews\", [])\n",
        "    store_reviews = [review[\"text\"] for review in location_reviews[:5]]\n",
        "    joined_reviews = \" \".join(store_reviews)\n",
        "\n",
        "    # generate embedding on your reviews\n",
        "    embedding_reviews = get_embedding(joined_reviews)\n",
        "\n",
        "    # MongoDB geospatial queries require GeoJSON formatting. We know that the longitute and latitude is nested inside Geometry and Location.\n",
        "    # so let's grab it using .get and then format it how we want.\n",
        "    geometry = details.get(\"geometry\", {})\n",
        "    location = geometry.get(\"location\", {})\n",
        "\n",
        "    # both are nested under location so open it up\n",
        "    longitute = location.get(\"lng\")\n",
        "    latitude = location.get(\"lat\")\n",
        "\n",
        "    location_info = {\n",
        "        \"name\": details.get(\"name\"),\n",
        "        \"address\": details.get(\"formatted_address\"),\n",
        "        # MongoDB geospatial queries require GeoJSON formatting\n",
        "        \"location\": {\"type\": \"Point\", \"coordinates\": [longitute, latitude]},\n",
        "        \"rating\": details.get(\"rating\"),\n",
        "        \"reviews\": store_reviews,\n",
        "        \"embedding\": embedding_reviews,\n",
        "    }\n",
        "    spritz_locations.append(location_info)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4ynVSEdvEFLE"
      },
      "source": [
        "Let's print out our output and see what our spritz locations in the West Village neighborhood of NYC are! Let's also check and make sure we can see an embedding field."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "m1yGMa7gEKge",
        "outputId": "f969ce95-7c20-4018-b6c9-8cf9e40952e6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Name: Bar Pisellino, Address: 52 Grove Street, 7th Ave S at, New York, NY 10014, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.0034603, 40.7329348]}, Rating: 4.3, Reviews: ['this place gets sooo busy in the summer even on a weeknight so come knowing there will likely be a line or wait time. wait was longer than expected and the drinks are definitely pricey too on avg of 18-20 per drink. the aperol spritz was great and i love the ambience and location of this bar but indoor seating is limited. overall a cute bar to come with friends on a nice warm day and enjoy a drink or two. wish they had happy hours!', 'Came for a martini on the 4th of July. Was pretty busy but grateful they were open! I believe our server was Benji who was doing a good job! Was the only server tending to the outside area so waited a little bit but not bad at all consider it was a holiday. Just had a martini with vodka and it was delicious. Came served with a little side car!', 'Love the interior and atmosphere here. Sets you back into Italy right away. Lovely pastry and coffee and even their iced tea is fab', 'I’ve been to Bar Pisellino for early breakfast a few times, which has been fantastic. The space itself is beautiful and probably one of my favorite parts of visiting, and the coffee and food are delicious too. It’s a great place to visit early and sit inside for a bit while sipping a cappuccino and indulging in a panino or cornetto.\\n\\nPost-work/pre-dinner drinks are a different story. The place gets packed very early, the cocktails are a little too sweet, but worst of all is the crowd it attracts. Everyone seems to be bothered by the presence of others near them and it’s just a weird, negative kind of vibe. So I wouldn’t come for drinks again, nor would I recommend the place for drinks, but early breakfast is really nice.', 'Great little bar in the center of west village. A place to people watch. On a perfect sunny summer day, makes up three quintessential New York City scene. 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            "Name: Bar Six, Address: 502 6th Ave, New York, NY 10011, USA, Coordinates: {'type': 'Point', 'coordinates': [-73.9972827, 40.73646720000001]}, Rating: 4.4, Reviews: ['Neighborhood gem frequented by long-standing customers on Sundays. It has a homely vibe elevated by cozy interiors. Loved the baked eggs, wished I asked for extra merguez sausage. Cocktails are pretty standard at reasonable prices.\\n\\nService was pretty quick and servers were attentive. It can be a bit noisy at peak times but nothing too unpleasant.', 'Great food & service! Stopped in a couple weeks ago for a turkey burger and it did not disappoint. Great tasting tea and food with a cozy atmosphere. Would absolutely love to come back if I am ever in the area again! Check came with a cute postcard as well to commemorate my visit!', 'Solid spot! Burger was pretty good! Fries could be better. French brassiere vibes inside! Bread with butter would be a nice addition!', 'The staff here is very friendly and honest. The food is very fresh and the bartender was very attentive. Let me also say I left my backpack with computer there last night and when I went to get it in the morning they held it for me. I thought for sure my laptop would have been missing, but surely it was there safe and sound. As for the food I highly recommend the shrimp cocktail and risotto dish.', \"Great spot for brunch. Can't wait to go back to try their French onion soup. A friend of mine comes here regularly and I see why. I had the Norwegian for brunch. It was delicious. The coffee, service, and ambiance were all great as well. Definitely looking forward to visiting this place again.\"], Embedding: [-0.028846994042396545, -0.01293163001537323, -0.04588601738214493, -0.030472176149487495, 0.0033392426557838917, 0.0012506288476288319, 0.0012831642525270581, 0.055814869701862335, -0.00835445523262024, -0.007694224361330271, -0.0019870398100465536, -0.0473080538213253, 0.00876075029373169, -0.04215317592024803, -0.06673406809568405, 0.07582493126392365, -0.02628225088119507, 0.01565507985651493, -0.005443727131932974, 0.025418873876333237, 0.05713532865047455, 0.0075355153530836105, -0.04547972232103348, -0.008525860495865345, 0.012569773010909557, 0.04545433074235916, -0.04390532523393631, -0.0064689889550209045, 0.004799367859959602, -0.040680356323719025, 0.057846348732709885, -0.01628991775214672, -0.0014140993589535356, -0.010036773048341274, 0.003935989458113909, -0.007243490312248468, 0.015477325767278671, -0.003923292737454176, 0.044616345316171646, 0.0396646149456501, 0.01978152059018612, 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            "Name: Stafili Wine Cafe, Address: 796 Greenwich St, New York, NY 10014, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.0065965, 40.7373928]}, Rating: 4.5, Reviews: ['This Greek restaurant in West Village is a real gem. The food is outstanding, with fresh and flavorful dishes, I loved tuna tartare and Stafili salad a lot!. The orange wine is a must-try, as well. The service is friendly and attentive, making for a great dining experience.10/10', 'This place is great. You really couldn’t ask for more. Awesome wines (love the unique focus on Greek wine), yummy food, the place itself is so cute with fun details (like the wine cork ceiling) and the service was just perfect. 10/10 would recommend!', 'fantastic wine and cool vibe. come here on a date, for a girls night out, friends catch up, anything. low key and great wine. greek wine focus giving some diversity from other wine bars. cheese board is a nice compliment to any bottle.', 'The atmosphere here is very modern and cozy. Lots of wood panelling and BEAUTIFUL ceiling with at least 15K corks! Solid service, pretty good appetizers/light snacks. Bring the important Greeks in your life here.', \"They have amazing selection of wines and happy hour on a red, white, and rose, and sparkling. The ambiance interior was nice with outdoor seating during great weather. Great explanation of the wine flight we received, however, felt rushed when we didn't finish our wines yet and gave us our check. We received a look that seemed judgmental prior to leaving, possibly due to the time we took in calculating the tip. I may be wrong, but I didn't appreciate the person's vibe.\"], Embedding: [-0.047181304544210434, -0.018142888322472572, -0.04610399156808853, -0.02827940136194229, -0.004327605478465557, -0.035330887883901596, 0.005634456407278776, 0.015669971704483032, -0.002705518389120698, -0.011715752072632313, 0.002860075794160366, -0.012793062254786491, -0.03278451785445213, -0.037999678403139114, 0.0042694550938904285, 0.03569815307855606, -0.02219504490494728, 0.0005539579433389008, 0.026394108310341835, 0.009622341953217983, 0.0429210290312767, 0.013001179322600365, -0.04791583493351936, 0.049458347260951996, -0.014531449414789677, 0.029087383300065994, -0.05011942237615585, 0.011868778616189957, 0.02232970856130123, -0.022023655474185944, 0.04860139638185501, -0.019660916179418564, 0.06165154278278351, -0.034057702869176865, -0.01722472533583641, -0.002980967052280903, 0.047205787152051926, 0.008906175382435322, 0.025145405903458595, -0.0052518886514008045, 0.013478623703122139, 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            "Name: 3 Sheets, Address: 134 W 3rd St, New York, NY 10012, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.00101579999999, 40.7306537]}, Rating: 4.3, Reviews: ['Always love coming here. Great food and always a very helpful bartender to get things going. Love the specials on weekdays too!', \"I bn here a few times already and it never disappoints me!!! Just walked in for a quick beer but Erin's hospitality and energy made me get a Jack too!!! Great service & smile!!! She's awesome; I'm glad they hired her!!!! I'll definitely be back here again!!! Thanks Ms ERIN!!!!!!\", 'Perfect NYC stop! Our server was upbeat and so much fun. The nachos were bomb and prices were not bad at all. Music was loud but such a great selection. I would totally come back!!', \"A spot I've been to before and it's still cool. Love the drinks and food. The music is a little loud so it's hard to hear people around me. Good place. 8.5/10. They have drink specials so you can save $ that way. Food is $10-$20 so it depends.\", 'Nice place for happy hour, variety of cocktails and beers. In front of the legendary Jazz Club Blue Note. It worth it.\\nGreat ambient for an afternoon or a night'], Embedding: [-0.030179861932992935, -0.029329383745789528, -0.0685243234038353, -0.015369374305009842, 0.006512240972369909, -0.0015392154455184937, -0.010503417812287807, 0.05579143762588501, -0.019354477524757385, -0.0022082084324210882, 0.004000289831310511, 0.010965107008814812, -0.018224554136395454, 0.0006781052798032761, -0.03217241168022156, 0.02602466382086277, -0.03900054469704628, 0.013668416067957878, 0.01679088920354843, 0.04062860831618309, 0.011390346102416515, 0.04164918139576912, -0.032269611954689026, 0.0021337915677577257, 0.016183404251933098, 0.03280419856309891, -0.023679770529270172, -0.023290980607271194, 0.026826543733477592, -0.034893948584795, 0.015053481794893742, -0.015551620163023472, 0.011080529540777206, -0.009094052948057652, -0.03834446147084236, -0.04026411473751068, 0.05166053771972656, -0.003508226713165641, 0.015126380138099194, -0.005175773520022631, 0.012805786915123463, 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            "Name: Analogue, Address: 19 W 8th St, New York, NY 10011, USA, Coordinates: {'type': 'Point', 'coordinates': [-73.9974458, 40.7328453]}, Rating: 4.3, Reviews: ['Lovely spot to grab a drink and hang out with friends or enjoy a date night. The ambiance is intimate with dim-lit rooms and comfortable seating. They have a variety of drinks and cocktails that are priced around $20-25. I enjoyed the Bird in Hand and I am willing to to come back to try the other drinks on the menu since they all looked unique. They have a limited selection for food but the mediterranean platter that my friend ordered seemed like a good choice. The service was fantastic, I have never met a more friendly host before!\\n\\n(I could not take as many pictures here since the place was just dark)\\n5/5 stars!', 'Visiting NY, found this quaint and cozy place. This is exactly what I wanted and expected from a late night NY bar. Me and my lovely lady had the most wonderful evening here. We didnt order food, but had drinks and they were steller! The ambiance and atmosphere are what really blew me away. If I ever owned a bar, this is definitely the vibe I would go far. The furniture is comfy and cozy, and everyone has their little nook, the decor is awesome with pics of musical legends, the people are all intellectuals from all walks of life, and just everyone enjoying an evening with whomever they came/meeting up with. Loved this place and will indeed be back the next time im in NY.', \"We came here to a drink before we went to dinner and it was such a great experience. They have so many different types of cocktails and even mocktails. I love the atmosphere here, it's dark so feels really intimate. They have comfortable couch seating, it feels a bit shared but we all seem to have our own privacy. Service was excellent, everyone was really friendly and happy to help us pick the drink that suits our tastes. The drinks were excellent and totally met expectations.\\n\\nInsta: @TheShahLALand\", 'I take all my dates here. It’s a wonderful atmosphere and the food and drinks are incredible. The staff is courteous and attentive and I feel taken care of whenever I’m in. The outdoor space is amazing as well.', 'Excellent bartenders and vibe. Layered cocktails and excellent whiskey program.  Coming back, and often.'], Embedding: [-0.053622785955667496, -0.037691742181777954, -0.06573440134525299, 0.01634565182030201, 0.023821180686354637, -0.02369554154574871, -0.0002544192539062351, 0.023532211780548096, -0.011495981365442276, 0.0046015335246920586, 0.023821180686354637, -0.01447362918406725, -0.047868512570858, -0.04050605744123459, 0.0019207083387300372, 0.03706354647874832, -0.0477680005133152, 0.038646601140499115, 0.026132941246032715, 0.03339488431811333, 0.019273044541478157, 0.034475378692150116, -0.026409346610307693, -0.0043785241432487965, -0.013594155199825764, 0.020554563030600548, -0.043571654707193375, -0.044275231659412384, 0.007406427524983883, -0.01998918689787388, 0.047692619264125824, -0.01061650738120079, 0.009906645864248276, -0.02771599404513836, -0.03176157549023628, -0.007387581281363964, 0.03208823502063751, -0.020956609398126602, 0.008229363709688187, 0.0013561174273490906, 0.02184864692389965, 0.03331949934363365, 0.05018027126789093, 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            "Name: Bar B, Address: 84 7th Ave, New York, NY 10011, USA, Coordinates: {'type': 'Point', 'coordinates': [-73.99922819999999, 40.7395445]}, Rating: 4.8, Reviews: [\"Bar B is a small little establishment with highly limited seating, but if you can grab a table the experience is fantastic. A good selection of affordable wines and decent food to pair.\\n\\nThe staff are all wonderful and care about providing quality products and good service. I will call out on Google this comes out as a Cocktail bar, but it's really a wine lounge.\\n\\nI ordered the Chicken Skewers and a Chianti wine. Not something I'd normally pair, but oddly was fantastic. The skewers were moist and delicious. They were placed on top of a mini baguette slice that soaked in the juices for additional flavor.\\n\\nThe Chianti was mild and easy on the palette. The wine was easy to drink and perfect for the day. I was able to get one of the two tables outside to truly enjoy the experience. By the time I left the bar was full of people standing.\\n\\nOverall great place and would recommend going to if you get the opportunity.\", 'I had no idea about Bar B until a friendly guy sitting next to me on a flight from BKK told me about it. I was intrigued that it was an Italian-inspired standing bar with a Japanese owner.\\nI’d been to Basta Pasta over the years, but had no idea they had a bar—when you look carefully, the “b” is actually the same exact font.\\n\\nI finally came here this week with a friend and we absolutely loved it. It’s a small place and when we arrived past 6pm, it was already full. But the staff was able to set up a table for us outside.\\n\\nWe ordered:\\n- Sea Scallops Carpaccio ($13+)\\n- Chicken Skewers ($13+)\\n- Penne Amatriciana ($16+)\\n- Crème Brûlée ($11+)\\n\\nEverything we ordered was delicious and I would recommend them all.\\nDrinks, they have happy hour until 7pm, which was great—especially since it includes prosecco for $8+.\\n\\nThere was a consistent flow of people, with a line outside at times. It was a chilly evening and got so cold we asked to go inside once a space opened up.\\nThe staff was attentive and very helpful.\\n\\nIt’s a small place and may be hard to get in, but I will be back for sure, to try more of their delicious dishes.', 'The food is amazing! Must try Chicken liver pate and sea scallops', 'Randomly came across this standing-room-only wine bar. Loved it. We did get one of the two tables out front but the crowd inside all seemed very happy with the setup. Super friendly staff (and owner)… lots of regulars which is always a good sign.', 'Great tapas and wine. Is a fusion of tapas. I went on  Saturday night and enjoy Manny delicacies prosciutto with figs, cheese platter, beet salad and shrimps all tasty and affordable. Service was pleasant. Small be ready to eat standing up, place is packed. Nice decor, servers are pleasant.'], Embedding: [-0.026038257405161858, -0.029134424403309822, -0.03697635605931282, -0.04189977049827576, 0.0055039445869624615, -0.03956495597958565, -0.01820901595056057, 0.02016315422952175, -0.013704345561563969, -0.06638994067907333, -0.04002176597714424, -0.023119738325476646, -0.02885526232421398, -0.0014886028366163373, 0.013755102641880512, 0.046848561614751816, -0.011344153434038162, 0.020899128168821335, 0.026647338643670082, 0.045046694576740265, 0.04349860921502113, 0.006125715561211109, -0.015810754150152206, 0.04829512909054756, -0.012993750162422657, 0.01916070654988289, -0.03281429409980774, 0.0022174392361193895, -0.0020096534863114357, 0.005979789886623621, 0.030530236661434174, -0.017422284930944443, -0.007486633490771055, -0.04169674217700958, -0.031393103301525116, -0.001627391087822616, 0.026114393025636673, 0.006014685146510601, 0.04400617629289627, -0.03720476105809212, 0.016521349549293518, 0.055121924728155136, 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            "Name: Banter NYC - West Village, Address: 643 Hudson St, New York, NY 10014, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.0057191, 40.7391397]}, Rating: 4.4, Reviews: ['Cute and fun brunch spot in the west village.. some cool, kind of on the healthier side options. They dont take reservations so had to wait 20mins on a Saturday morning which was fine. Service was good, food was nice, nothing show-stopping. But would defo go again and will try the other locations.', 'Good spot just popped in for some coffee and matcha 🍵 latte. They have Gluten free options available and clearly marked', 'Loved the sides more than the mains, good portions. The juice was not my favorite. - When they’re not crowded the service is so much better.', 'Stopped in for brunch on a Saturday with the dog the staff was very kind and accommodating.\\n\\nGot the fried chicken sandwich and wanted to love it but unfortunately did not.\\n\\nThe bun was stale… the chicken was dry missing sauce or flavor…\\n\\nThe sweet potato fries were super salty you can even see in the photo.\\n\\nHope they fix - a chicken sandwich is a must have and must be top notch.', \"Young and health vibe brunch place. It's kind of pricey but okay with the portion size. Also the coffee taste very acidic and burnt. I ordered cappuccino and defintely not foamy enough.\"], Embedding: [-0.051945898681879044, 0.020133312791585922, -0.04124397039413452, -0.04143944010138512, -0.02990676462650299, -0.0124000683426857, -0.0013033815193921328, 0.0009910891531035304, 0.031372781842947006, 0.014953382313251495, -0.005570868030190468, -0.056539423763751984, -0.004960027057677507, -0.004419432953000069, -0.07066205888986588, 0.03858070448040962, 0.011783118359744549, -0.017824333161115646, 0.001183504005894065, 0.016700387001037598, 0.04593522846698761, 0.021611547097563744, -0.03787212818861008, 0.01330411247909069, 0.009577983058989048, 0.045226652175188065, 0.01090350840240717, -0.047645580023527145, 0.005021111108362675, -0.03547763079404831, 0.024604666978120804, -0.009309213608503342, -0.046252865344285965, -0.022747710347175598, 0.021782582625746727, 0.010634738020598888, -0.0008108911570161581, -0.010659171268343925, 0.0038024839013814926, 0.0325944647192955, 0.02207578532397747, 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            "Name: Dante West Village, Address: 551 Hudson St, New York, NY 10014, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.0062505, 40.7352026]}, Rating: 4.5, Reviews: [\"Dante in West Village would be perfect if they had enough restrooms! It's a big, busy restaurant with the best drinks, and they definitely need more than two restrooms for over 100 people. The lines can be quite long.\\nOther than that, everything was perfect! You must order the cocktails—they are a piece of art and taste delicious. Every single dish we ordered, from appetizers to the main course, was delicious. Yes, I would love to go back, and yes, I will recommend it to my friends.\", 'An excellent spot for top-notch happy hour martinis.\\nWent for my birthday just to have some pre-dinner drinks and it was so enjoyable. Easy, fast, and well priced for delicious martinis.\\nNot too big so you can try a couple different kinds and not feel too guilty.\\nExcellent oysters as well. They make a lemon ice shavings topping for them as well that is unforgettably fresh.', 'Stylish spot in the West Village to enjoy excellent drinks, including several types of martinis, and great food. The Dante burger is delicious.\\nIt is a busy place, I recommend a reservation.', 'The restaurant is very cozy and beautiful. We were there during the Martini hour 3-5pm. However the one I like is not on the list. I ordered chocolate espresso martini and  regular espresso martini. Both were great.\\nFor food i got granola which is so good. Steak and eggs were just average.', \"$10 Martinis? YES PLEASE!\\n\\n10/10 highly recommend visiting this spot!\\n\\nMy friend wanted Dirty Martinis, so I began searching for places in New York that offered them during happy hour! After some digging, I found Dante’s West Village, which offers a happy hour deal on Martinis from 3-5pm. Woohoo!\\n\\nWe decided to walk in because there were no reservations available between 1-5pm, and ended up waiting in line for about 30 minutes. So, plan ahead and try to get a reservation beforehand. The line is specifically during the happy hour, making 3-5pm their busiest time of the day.\\n\\nWe all ordered Dirty Martinis, and the server presented them with a fancy flair (extra points for the presentation and warm greetings by the server in curly hair 🌟). Since we got our table late, our second round of drinks wasn't part of the happy hour. Interestingly, the non-happy hour drink size is larger than the happy hour glass. However, both versions were very strong, so the size difference didn't really matter.\\n\\nOverall, I'd say this is a perfect spot for a date or meeting friends. But I can't emphasize enough—you need to reserve in advance! The only reason I was okay with waiting 30 minutes was because one of my friends was running late.\"], Embedding: [-0.05056280270218849, -0.026630615815520287, -0.04820495471358299, -0.040476441383361816, -0.0031781867146492004, 0.0001518685312476009, -0.019268881529569626, 0.053759001195430756, 0.0028588941786438227, -0.008887788280844688, -0.008992581628262997, 0.005436156410723925, -0.029630327597260475, -0.018220948055386543, -0.01613817922770977, 0.026853302493691444, -0.05784594267606735, 0.02516350895166397, 0.014251898974180222, 0.011081899516284466, 0.05433536693453789, 0.04493016004562378, -0.038170985877513885, 0.011514171957969666, -0.0018224222585558891, 0.04419660568237305, -0.046475861221551895, -0.03976908698678017, 0.056274041533470154, -0.007649916224181652, 0.04335825890302658, -0.017146816477179527, 0.0037692866753786802, -0.036913465708494186, 0.012765143066644669, 0.0214302446693182, -0.006529937032610178, 0.008141135796904564, 0.015378427691757679, 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            "Name: While We Were Young Kitchen & Cocktails, Address: 183 W 10th St, New York, NY 10014, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.002696, 40.734403]}, Rating: 4.3, Reviews: [\"We went here for my birthday! It's a small space but the light lavender paint brightens and makes it feel wider than it is. The truffle fries and kale salad are to DIE for. If you're a rabbit like me you'll love it. They are really good at fries too. While everything may be slightly pricey the protons are totally worth it. I wish me and my boyfriend actually ordered to share everything lol. We just wish his burger was cooked a little bit better. The drinks were well made if i had another i wouldn't have made it home lol.\", '3.5 / 5.0 - I came here for weekend brunch with a friend and we had a nice time catching up.\\n\\nWhile We Were Young is such a cute place, with a stylish decor. The dining area is quite small inside, but because of the large windows and layout of the tables, it didn’t feel claustrophobic at all.\\n\\nThe service was great. The staff was welcoming and offered us 2 table options.\\n\\nThe food was a bit of a disappointment. We both ordered the Spring Salad ($22+) with dressing on the side. It was mostly lettuce and quinoa, with very little goat cheese and strawberries. The lettuce was not very fresh, either. Considering the price, I’d had higher expectations. Unless you want mainly lettuce and quinoa, I would recommend trying a different dish.', 'The sun was injecting life into New York City so I needed a Spritz injected straight into my bloodstream.\\n\\nWe were just wandering around the West Village, looking for any place where we could be photosynthesized by the sun. I had St. Jardim bookmarked as I walk by there all the time and their outdoor seating is about as idyllic as it gets, but they went all Hollywood on us and were fully occupied.\\n\\nWhile We Were Young was right next door and had an open table, so we snagged it quick because it was one of those days where everyone is looking to grab a spritz in direct sunlight. I cannot hate a man who has the same dreams as me.\\n\\nThey have eclectic drink names here that range from \"Plan B\" to \"Texts From Last Night\" to \"F@$king in the Morning.\" This got a good laugh out of me. I respect this riskiness. You gotta take risks to be great. You gotta risk it for the biscuit.\\n\\nI just got my spritz because you know why I\\'m here, but my girlfriend got a drink named \"One Night Stand\" .... DAMN THAT HURT... I\\'m still licking my wounds from that tbh... but it did taste fantastic at least. Tequila, Watermelon, Chili Agave and Lime is a beautiful mixture.\\n\\nWe got a second round because the spritz and the One Night Stand were both performing at a high level, and the weather compelled us to stay outside. I could be hit by a bus tomorrow. Another extinction event could hit at any time really. Might as well enjoy these days while I can.\\n\\nIG @jnov_\\nTiktok @jnov_reviews', 'Came here for brunch with my friend - it was just ok.\\nService was great and friendly, but after an hour and a half of dining we were told that the next reservation was coming in. Kind of trashy to kick guests out after only an hour and a half.\\nAlso, needed to put in a $70 deposit for the reservation for 2 - always think it’s kind of gross  when restaurants demand credit cards for booking.\\nThe space was also much smaller than the photos online show - maybe 5-7 tables inside total and a small bar area.\\nand it was definitely not as nicely decorated as the photos online. No fresh flowers or pretty wall decor.\\nfood was good , but the portions were tiny for the prices.\\nThe cocktails were not bad , not amazing but not the best either.', 'I came for the outside seating on a pitch-perfect summer evening and the people-watching, but the food was excellent. The kale salad was unique --wonderfully complex and satisfying.  The Brussels were great, if more normative.   The staff let us linger and enjoy the night.'], Embedding: [-0.051238566637039185, -0.017294811084866524, -0.028705080971121788, -0.04305762052536011, -0.004599988926202059, -0.03404422476887703, -0.017739739269018173, 0.01651977375149727, 0.0001230057532666251, 0.002474019071087241, -0.015184987336397171, -0.0285041444003582, -0.024428023025393486, -0.028288856148719788, -0.036685094237327576, 0.015242397785186768, -0.023150647059082985, -0.010075483471155167, -0.007527907378971577, 0.0638400986790657, 0.021973738446831703, 0.014244896359741688, -0.05319051444530487, 0.0032095867209136486, 0.020294491201639175, 0.022433020174503326, -0.030829256400465965, -0.04541143774986267, 0.02279183454811573, -0.0013500357745215297, 0.02279183454811573, -0.019146287813782692, -0.029681053012609482, -0.051755260676145554, -0.029422707855701447, -0.030886666849255562, 0.026179032400250435, 0.022921007126569748, 0.030714435502886772, 0.01634754240512848, 0.013082340359687805, 0.02623644284904003, 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            "Name: Amelie Bistro & Wine Bar west village, Address: 22 W 8th St, New York, NY 10011, USA, Coordinates: {'type': 'Point', 'coordinates': [-73.99766799999999, 40.732629]}, Rating: 4.5, Reviews: ['It’s not often I want to eat French food so I’m glad my friends introduced me to this place! Such good food, service, and ambiance!!\\n\\nBottomless mimosa for brunch is $26! Such a great deal in West Village! I ordered the scrambled egg vol au vent, and it was absolutely delicious. The flavors were not too overpowering, and the puff pastry was perfect. I could have used a little bit more seasoning and pepper but to each his own. I still thoroughly enjoyed it as is! The truffle fries were also great, and I like how they serve the complimentary bread in a bag.\\n\\nAn added touch was presenting the check in a book! Very creative! Cannot wait to return to try other items off the menu and to visit for dinner. I heard the duck dishes are also incredible, and heads up, RSVP because you never know how busy they can get!', \"Incredibly tasty French brunch at extremely great prices especially given the area. Their eggs Benedict (5/5) is the best Benedict in the city by far: smooth, smoky savory bacon atop perfectly toasted fluffy bread topped with perfectly poached eggs and heavenly hollandaise sauce. It's also only $18 which is a steal in this area. Their banana creme brulee (5/5) is also incredibly - delicately creamy (none of that fake garbage) sweet, and delicious. Service is also top notch.\", 'If you’re looking for good drinks and top quality food/tapas this is the spot. Funny story is that me and my wife were looking to use the rest room and a place to eat and spontaneously ran into Amelie. We had left to check out the rest of the area out (Greenwich Village) when I noticed my wallet was missing. I had panicked and called the restaurant and they told me one of the workers had found it in the bathroom. So we came back (which I was thinking about because the food looked so damn good) and we decided to grab some charcuterie along with some drinks.  Naime, which is the manager there took care of us and even gave us some drinks and food on the house! I would give them a 10 stars if I could. I definitely recommend this place. Best food and customer service hands down. I wouldn’t go anywhere else if you’re in the area. Thank guys we definitely will be back!', 'Wine flights  - both good and relatively affordable during happy hour ($14 each for 3 glasses per flight)\\n- Jules - full white wine\\n- Matthieu - orange wine\\nTruffle fries and grilled chicken sandwich and mussels were delicious', 'Forget the calories and indulge in excellently prepared French classics! Complement them with the wonderfully matched wine flights. 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            "Name: Grove Street Social, Address: 61 Grove St, New York, NY 10014, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.0033181, 40.7332134]}, Rating: 4.7, Reviews: ['The salt and vinegar home made chips are quite possibly the best chips I’ve ever had. The olives were delicious as was the orange wine. Highly recommend this spot for a relaxing time. I loved the decor too.', 'such a cute hole in the wall! great happy hour drinks,  cozy decor, rustic vibe. perfect for a catch up or hosting small events. great location and lovely people coming in and out all day. must go.', \"While visiting the area we stumbled across this gem and spent a couple of hours enjoying their cocktails and wine.   The service was fantastic and very knowledgeable, wine and cocktail selection amazing.  We loved the overall vibe, and wish it was in our area so we could wander over every Saturday or Sunday.\\nWe'll definitely go back the next time we travel to NYC.\", \"This is one of the best new bars I've seen in a while. Really interesting cocktail menu, great drinks selection, premier league soccer on the TV and really friendly bar staff - everything you want in a bar. Didn't get to try the food so can't comment on that (despite them offering me a free omlett) but this place is truly excellent.\", 'A new addition to the area. It was cozy, the bartender/owner? was super friendly and nice!\\n\\nGot an old fashioned definitely one of the better ones in the city.\\n\\nIf you want a cozy, quiet spot to relax and chill this is the spot.'], Embedding: [-0.040612101554870605, -0.02639070712029934, -0.07167964428663254, -0.008936094120144844, -0.002089363755658269, -0.023193279281258583, -0.01194262970238924, 0.018969811499118805, -0.016965454444289207, -0.059796664863824844, 0.003606054000556469, -0.012777779251337051, -0.05187468230724335, 0.020019713789224625, 0.002320521045476198, 0.02429090440273285, -0.030924372375011444, 0.012079833075404167, 0.010326020419597626, 0.014281047508120537, 0.044406063854694366, 0.022620605304837227, -0.06600062549114227, 0.003880460048094392, 0.03925200179219246, 0.034312691539525986, -0.03555348515510559, -0.005786389112472534, -0.014555453322827816, 0.0014465972781181335, 0.04266418144106865, -0.005559706129133701, 0.010463223792612553, -0.010767456144094467, 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            "Name: Ama Raw Bar West Village, Address: 39 Downing St, New York, NY 10014, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.0039359, 40.7293393]}, Rating: 4.6, Reviews: [\"We came for the happy hour deal and it was great! The drinks were good for the price. I loved the frozen lychee lemonade! The happy hour food were ok, personally I think they could be better. We didn't get the oysters bc none of us likes raw seafood. Overall, pretty decent experience and I would definitely recommend coming here during happy hour\", 'We came here for the first time last night and had a very enjoyable meal. Ama has a great vibe, very vibrant and cozy. The menu was also unique, with Asian influenced drinks and food.\\n\\nDrinks:\\n- Lychee Martini (vodka, lychee purée): I loved, especially since it was with lychee purée\\n- Matcha Paradaisu (tequila, matcha, elderflower, lemon): Not my favorite combination\\n- Spicy Palawan (tequila, jalapeno, calamansi, lime, spicy sesame salt): I just had a sip, but it was definitely spicy\\n\\nFood:\\n- Oysters (6 St. Simon from VA and 6 Bacat from Canada): They were fresh and the Bacat was so nice and smooth.\\n- Toro & Tobiko: I liked the yuzu flavor. Could’ve been better with more toro—the crispy rice was a little too overpowering.\\n- Sashimi Salad: Nice salad. The dressing tasted like ponzu and I couldn’t taste the wasabi at all—which was perfect for me since I don’t love wasabi.\\n- Nori Fries: Very flavorful and addictive. Couldn’t stop eating them!\\n- Wild Mushroom Fried Rice: Too much sauce—would have preferred lighter.\\n\\nIt can get quite loud depending on where you’re sitting. So it may not be the best place for an intimate conversation, but it was still nice for couples, especially since they have small dishes and you can try many things. We’d ordered too much food for 2 people, though, and ended up taking some home.', 'This place was so good and fresh. I went with my siblings for happy hour and we shared the angry mussels (a MUST) and a bunch of oysters (you couldn’t beat that happy hour price.) Everything was so fresh and delicious. The service was great and so were the drinks. We all said we’ll be back!', 'This is one of my favorite spots in the West Village! First of all, service here is impeccable. Every time I come back, I feel like I’m spending time with family. From a warm greeting by Brandon, to exceptional drinks made by Carmen, and of course, great service from Carlos! This place has happy hour seven days a week… And on the weekends it’s from 3 PM to 6 PM which makes a really great midday stop.', 'I think we got the yuzu pepper shrimp and the oysters. The shrimps were great, spicy but really flavorful. LOVED the oysters the dipping sauce amazing. The mussels were also really good as well\\n\\ngood date night atmo'], Embedding: [-0.028649868443608284, -0.02169923111796379, -0.03839400038123131, 0.006748738698661327, 0.02044149674475193, -0.022453870624303818, -0.025896091014146805, 0.03376024216413498, 0.014947181567549706, 0.00186177808791399, 0.021394725888967514, -0.01928967610001564, -0.02232147753238678, -0.019514743238687515, -0.02040177769958973, 0.03558726608753204, -0.03558726608753204, -0.003395883133634925, -0.015569429844617844, 0.005828606430441141, 0.05113021656870842, 0.007711898535490036, -0.03323066979646683, 0.015437036752700806, -0.007460351567715406, 0.021302051842212677, -0.02790846675634384, 0.004597350489348173, 0.014920703135430813, 0.00046792690409347415, 0.05420173704624176, -0.016760967671871185, -0.0019197000656276941, -0.018495317548513412, -0.04488126188516617, 0.011796225793659687, 0.012623682618141174, 0.0014058493543416262, 0.022784853354096413, -0.02936479076743126, 0.018601231276988983, 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            "Name: Arriviamo Bar, Address: 61 9th Ave, New York, NY 10011, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.00522389999999, 40.74157129999999]}, Rating: 3.7, Reviews: ['We made the most of it, but one and done at this place💥. The ONLY Starbucks that does not serve frappuccinos, doesn’t allow phone charging and has very rude staff!  One bartender rolled her eyes when a friend asked for a glass of water after we had simultaneously spent $50 on two drinks! Very disappointing because I had been looking forward to going there for quite a while to try their espresso martinis.', 'The service in this establishment is like at a gas station, although in the latter the attitude will be more humane, you will not find such rudeness and intolerance even on the streets of New York, Starbucks needs to select employees more carefully (I ordered two croissants with chocolate, they gave me cheese) I ordered coffee with milk, they gave me without, and they also threw milk in my face when I asked for milk. If you want milk thrown in your face, then welcome to this eatery, otherwise I do not recommend going here because of the disgusting service and rude employees!!! Thank you for spoiling the impression of Starbucks and this establishment in general!', 'This is inside Starbucks reserve.  My fav drink of the night was the roastery old fashioned and cold brew spiced rum.  We were served by an awesome bartender Ari and Robert ( coffee master ).  I wish there was more places like this in Los Angeles.  A nice chill bar where you could actually have a conversation.\\n\\nWe had the best time with Robert his passion for coffee and love for Starbucks is awesome and if you get a chance to talk to this guy I strongly recommended, he took our experience from 10/10 to a 20/10.', \"This is a gem that should not be overlooked. From the moment we walked in, we were greeted by Victor, the bartender, who exuded a warmth and friendliness that made us feel immediately at home. He was more than happy to chat with us and share his knowledge and passion for mixology, which added to the overall experience.\\n\\nThe ambiance of the bar was cozy and intimate, with dim lighting and comfortable seating. It was the perfect setting for a night out with my wife. As we perused the menu, we were impressed by the variety of drinks on offer, all of which were expertly crafted and full of flavor.\\n\\nMy wife and I decided to start with a flight of espresso martinis, which were all delicious. The espresso was strong and bold, perfectly balanced with the sweetness of the vodka and the smoothness of the cream. Each one had its own unique twist, and we enjoyed trying them all.\\n\\nI had a Milan-inspired Manhattan, which was a perfect balance of sweetness and bitters. The vermouth and amaro added a complexity to the drink that I had never experienced before. It was clear that Victor put a great deal of thought and care into the preparation of each drink.\\n\\nOverall, our visit to the Arriviamo bar at Starbucks Reserve in Chelsea was an exceptional experience. The hospitality of Victor and the delicious drinks on offer made for a memorable night. If you're in the area, I highly recommend stopping by and treating yourself to a drink or two. It's a true pleasure to have a bartender like Victor who is not just making a drink but creating an experience\", \"A separate 21+ area at the top level of the Starbucks Reserve. Well worth a visit and a very unique place to hang out with friends. Unique cocktails that have heavy coffee influence. Great friendly bartenders. No tipping! Guaranteed seating that requires reservations/a wait so get in line as soon as you arrive. Menu is completely separate from the main section and they don't allow food/drinks to be transferred between the sections.\"], Embedding: [-0.046776965260505676, -0.011932067573070526, -0.042917389422655106, -0.03674750402569771, 0.04471127688884735, -0.04593438282608986, -0.008480193093419075, 0.05446893349289894, 0.001246887375600636, -0.007460939697921276, -0.016797306016087532, -0.005130245350301266, -0.03299665078520775, -0.012013607658445835, -0.011911681853234768, 0.032371506094932556, -0.01448699738830328, -0.0004066398832947016, 0.03720956668257713, 0.04873393103480339, -0.012577594257891178, 0.052675049751996994, -0.02004532888531685, 0.031202763319015503, -0.0339207723736763, 0.02788678929209709, -0.055882301181554794, -0.02323899231851101, -0.025590071454644203, -0.025318270549178123, 0.0344100147485733, -0.018876584246754646, 0.02202947624027729, 0.0024903772864490747, 0.004348817281424999, 0.022192558273673058, 0.024530047550797462, -0.005503971595317125, 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            "Name: The Happiest Hour, Address: 121 W 10th St, New York, NY 10011, USA, Coordinates: {'type': 'Point', 'coordinates': [-73.9996815, 40.7348417]}, Rating: 4, Reviews: ['CARLOS WAS AMAZING. happiest meal is an amazing deal. our food came out so fast. i expected a mediocre food experience and was blow away! i would definitely return. my drink was amazing as well.', 'I had the happiest time at the happiest hour. Maori and Colin treated us so nicely and made sure everything was wonderful. Highly recommend this place. Their cocktail list is also so unique', \"Stopped by here with a friend for drinks and snack before dinner\\nEach ordered a cocktail and we took the mac n'cheese bites and buffalo cauliflower\\nThe drinks were good\\nThe food was delicious\\nService was super quick and staff is nice\\nRecommend for a nice cocktail night with a friend or two:)\", 'I stumbled upon this place at random. All I can say is that the drinks are absolutely AMAZING! My server Steph was very attentive and quick with my orders! I will definitely be coming back! 10/10', 'great place for drinks & food! we had burgers and cocktails (the highball and the troublemaker were both delicious). everything was great and our server stephanie was so friendly and wonderful too!'], Embedding: [-0.04474761337041855, -0.0014498315285891294, -0.04951123148202896, 0.010103686712682247, -0.027922915294766426, -0.04097219184041023, -0.02490764670073986, 0.050828829407691956, 0.022867904976010323, 0.017749547958374023, 0.01014802884310484, -0.008177967742085457, -0.01918116770684719, -0.016837365925312042, -0.007835899479687214, 0.0601026825606823, -0.018687069416046143, 0.03433353081345558, 0.017736878246068954, 0.03109021484851837, -0.003765919478610158, 0.011427617631852627, -0.037830229848623276, 0.028074946254491806, -0.009178834967315197, 0.03331999480724335, -0.05321063846349716, -0.02941788174211979, -0.012650195509195328, 0.00541925011202693, 0.06805893778800964, -0.010414081625640392, 0.008507367223501205, 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            "Name: Bosco On Bleecker, Address: 169 Bleecker St, New York, NY 10012, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.0002763, 40.7288482]}, Rating: 4.8, Reviews: ['This place is pretty small. The table we sat at was a high top and pretty uncomfortable. There wasn’t enough room on the table for our food.\\n\\nThe bartender was so nice though. After she saw I didn’t drink my drink she asked if I wanted to swap and I did! It didn’t like it at all. I got the color and co. Which looked gorgeous. But didn’t taste sweet and fruity like the description said. Maybe it was the egg whites I didn’t like but I thought the drink tasted like plastic. She made me a paper plane with no complaints and that was good.\\n\\nThe happy hour deals are pretty good, for $20 you can get two share plates or an entree and a share plate. The food was just okay though. The chicken sandwhich was pretty spicy and was covered in coleslaw or something. I liked the big pickle with it though. The chicken wings were too spicy too and kind of dry. The salad I had should have been bigger.\\n\\nIf you are in the area I recommend to try another place for food.', 'Great place to having fun with friend!\\nThe drink was great. The food also taste delicious! And they also have happy hour everyday except sat!', 'Had an amazing time here for drinks on my 21st birthday! The bartender was wonderful and brought us a sparkler and a round of shots on the house. The ambiance is also 10/10. Beautiful interior decor, calm lighting, and lower music made the atmosphere very comfortable.', 'I’m a little cold but other than that; the food, music, services and vibes were immaculate! Rafael was so sweet and attentive. Definitely coming back for happy hour', 'First time here tonight, I love the vibe and seating here. My friends and I took a booth near the entrance and the music/ambiance volume is at a good level where you can carry regular volume conversation which was what we were looking for, something chill. The neon light is really cute in front. Had the chicken burrito which was yummy. The hurricane cocktail was a favorite. Young was our bartender and really appreciate their awesome service and great tasting drinks!'], Embedding: [-0.03005114570260048, -0.03493478149175644, -0.07157495617866516, -0.00055433448869735, 0.012590215541422367, -0.02555510215461254, 0.001430853153578937, 0.04539971053600311, -0.00102711352519691, 0.010271135717630386, -0.0309296827763319, -1.7322952771792188e-05, -0.04906889423727989, -0.010187157429754734, -0.012570835649967194, 0.014805938117206097, -0.010284055024385452, 0.0021446647588163614, -0.009521794505417347, 0.03514149412512779, 0.020232198759913445, 0.0364593006670475, -0.04185971990227699, 0.026084808632731438, -0.008979168720543385, 0.034676387906074524, -0.009618692100048065, -0.04069695249199867, -0.02158876322209835, -0.013759445399045944, 0.05462435260415077, -0.0032929000444710255, 0.005481168627738953, -0.07803478837013245, -0.037363678216934204, -0.010775002650916576, 0.05103268474340439, 0.007157495710998774, 0.03622674569487572, -0.01328141801059246, 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            "Name: Ways and Means, Address: 167 Bleecker St, New York, NY 10012, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.00011950000001, 40.72882320000001]}, Rating: 4.6, Reviews: ['What a gem! I stumbled on this place in the heart of the village amongst a sea of restaurants. They have an amazing brunch and great drink specials. I had the best Huevos Rancheros i ever had. The manager was very sweet and very inviting which is so refreshing these days. The bartender was very nice and professional and they  had this great jazz band playing as well. Kudos to the chef and team at Ways and Means. I definitely will be back for sure!', \"Very quaint little spot in the Village. The food was delicious. No lie. Seriously the food is crazy good. I ordered the steak quesadilla and my wife ordered the Chicken Alfredo and a side of fries and some fried calamari. The steak quesadilla was full with great seasoned chunks of steak. It came with a side of guacamole,sour cream and salsa. OMG. I recommend 👌🏼. Had a taste of the chicken Alfredo. And it was out of this world. Fries were good. It's fries. The fried calamari was ok. But good. Can't knock them for that. Service was awesome. Very friendly. Coming back to try some more on the menu.\", 'Went here to celebrate a birthday. 1st time visiting a live comedy show. Unfortunately, there was only myself, my bf and one other person for the show so they informed us that they were going to cancel. They offered us a partial refund or the opportunity to come back to another show. We explained that it was a special night and that we were really looking forward to this event. They then offered to do the show for us three and it was such an awesome experience. The comedians were great, we were so appreciative of them continuing the show and will definitely be back for more!', 'I don’t say this lightly - this might be the best all around menu in Manhattan. The burger is one of my favorites I’ve had in the city, and the cocktails are AMAZING! The bartenders are very fun and easy to talk to and all of the staff is welcoming and friendly. Amazing brunch, professional grade espresso machine for lattes, amazing drinks, AND they have comedy shows in the back every day. Perfect place to become a regular at.', 'Scumbags. They displayed the total on a handheld machine (no receipt) and hid the built-in gratuity. I assumed this was the case, but when I clicked, \"No tip\", the waiter asked if I was displeased with the service and let me know that I\\'m not tipping. So, I assumed I was mistaken and tipped. I later realized I was right and was pressured into tipping on top of a built-in gratuity. I hope the $5.00 was worth this 1-star review and me never not coming back.\\n\\nEDIT: Since they had a hard time understanding, I dumbed my comment down for them.\\n\\nI recovered from the five bucks lol. I don\\'t know if you can recover from being a scumbag though, so I\\'ll just give you my best wishes.'], Embedding: [-0.04747849702835083, 0.007041426375508308, -0.07070644199848175, 0.011248751543462276, 0.004375325981527567, -0.02981649711728096, -0.04820893704891205, 0.024016816169023514, -0.0034750609192997217, -0.020423058420419693, 0.02972884476184845, -0.031116677448153496, -0.03403843194246292, -0.019604967907071114, 0.016537126153707504, 0.07175827026367188, 0.005967681761831045, -0.023563943803310394, -0.020130883902311325, 0.017063042148947716, 0.06801842898130417, 0.04686493054032326, -0.024791080504655838, 0.012651193886995316, -0.024528123438358307, 0.05136442929506302, -0.07795239239931107, -0.012943369336426258, 0.017895741388201714, 0.006475336849689484, -0.008363519795238972, -0.020233144983649254, -0.0041671511717140675, -0.03447669371962547, -0.036083657294511795, 0.010963880456984043, -0.014338506385684013, -0.001986792543902993, 0.03257755562663078, 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            "Name: Maestro Pasta, Address: 102 MacDougal St, New York, NY 10012, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.0009164, 40.7293927]}, Rating: 4.6, Reviews: ['I’ve been here twice now and both times it has been amazing! My sister has celiac and she said the food was to die for and they make an amazing Hugo Spritz. I chatted with the owner, Alessandro, on both visits and he is wonderful. The decor is perfect too - some of the tables have swings for seats!', 'Grossly overpriced for the level food served.\\nBizarre Brussels sprouts side dish - just boiled, and thrown in a sweet mix of grapes and sugary walnuts\\nNice pasta… but $53 after service without a drink…? The food needs to be a lot better to make it ok.\\nNice staff, good service', 'One of the best pasta place I have been.\\n\\ngreat service, very lovely (for Italians that coming from a French person) drink amazing, highly recommended their espresso martini. The owner Alessandro welcome us with warmth heart.\\n\\nAnd the past, mama Mia! What else to say.', 'I adore this restaurant. Very elegant, but casual at the same time. The venue is so cozy and welcoming, with simple decor but with style.\\n\\nThe staff are brilliant, 10 out 10 to the team. Friendly, welcoming, warm and happy to help you. Makes you feel good to pay the service change.\\n\\nThe food is delicious, fresh and simple, which you can’t go wrong with it.', \"Some of the BEST italian food in the village! Everything from the ambiance (love the swing seats!), to the drinks, to the food, was nothing short of amazing! It's definitely a MUST if you are in the city! Highly recommend! They even offer a prix fixe lunch special for $19 that includes 2 courses! Can't wait to go back soon!\"], Embedding: [-0.08709884434938431, -0.016871245577931404, -0.03136793151497841, -0.037731751799583435, 0.019815698266029358, -0.04017754644155502, -0.03089301846921444, 0.0216322373598814, 0.006933713797479868, -0.054282430559396744, -0.022035911679267883, -0.02982446737587452, -0.028494713827967644, -0.023092590272426605, -0.0034253019839525223, 0.04183973744511604, -0.0281622763723135, -0.018842129036784172, 0.03419365733861923, 0.032935138791799545, 0.032388992607593536, 0.021430399268865585, -0.06810236722230911, 0.010958592407405376, -0.012347709387540817, 0.00910049956291914, -0.04784737527370453, 0.001902615767903626, 0.00999095942825079, -0.02128792554140091, 0.03310135751962662, -0.006482547614723444, 0.0024710260331630707, -0.03896652162075043, -0.050008222460746765, -0.013736826367676258, -0.009207354858517647, 0.04435677081346512, 0.042718324810266495, -0.005684101954102516, 0.0009490817319601774, 0.05603960528969765, 0.024101778864860535, 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            "Name: Wicked Willy's, Address: 149 Bleecker St, New York, NY 10012, USA, Coordinates: {'type': 'Point', 'coordinates': [-73.999299, 40.728388]}, Rating: 4.1, Reviews: ['1st time here and I thought the place was amazing they had a live band which was really really good…the ambiance, decor and staff was great! The drinks were good and strong I had the fish bowl and my gf had a martini which I thought was stronger than my fish bowl but overall it was good. We didn’t try the food so can’t say anything about it but we’ll definitely be back for it.\\n\\nIf you’re ever in the city this place is a must try!', 'We had a lot of fun at Wicked Willy’s.  We came here on a Wednesday night after being recommended it from over a year and a half ago.  The security harassed a woman waiting for her friend outside alone as he was checking out ID’s which delayed our entry.  It was wine Wednesday so only $6 for a glass which was great!  We watched the security guard harass another woman who was waiting for her boyfriend sitting alone.  This was icky.  Our waitress greeted us with a smile but not much more- still friendly throughout!  We ordered the loaded nachos with chicken, steak quesadillas, and spicy chicken wrap.  The food was delicious!  We happened to go on karaoke night which was a shock to us but we rolled with it.  The host hyped everyone up and made people feel comfortable to sing by starting us off.  She gave every singer candy at the end and it seemed like everyone had such a great time.  We even went up to sing and when no one clapped she made us feel seen despite that!  The atmosphere is so cool- sea / mermaid / captain theme.  They also had an outdoor area in the back and seemed to have games but we didn’t go back there since it’s the middle of February.  I’d love to come here again!', \"This place is a fantastic sports bar! 🍻 Wicked Willy's serves a wonderful selection of delicious 🤤 American 🇺🇲 dishes 🍽️- definitely get the Loaded Nachos! Their Happy Hour ⏳ special on food 🍴 and drinks 🍺 are also great and affordable! 🏷️ Service is quick ⏲️, staff 👨\\u200d🍳 is friendly and professional, ambience 🎶 is great, place is nicely decorated 🛋️, and the music 🎵 is awesome! I wish I came here earlier!\", 'No one really comes here for the food. All the food is mediocre. But a great place for a boozy brunch! The perfect spot for bottomless brunch. They have a DJ and dancing poles!', 'Amazing decor, delicious food, GREAT service! We came for happy hour and got amazing brunch.'], Embedding: [-0.031883690506219864, 0.04256381466984749, -0.07604037970304489, 0.003130268072709441, -0.016973299905657768, -0.0016924338415265083, 0.002255490282550454, -0.00013086985563859344, -0.02428487502038479, 0.007122257724404335, -0.020093776285648346, -0.006397628225386143, -0.03237983211874962, -0.009080715477466583, 0.021464696153998375, 0.03271929919719696, -0.04567123204469681, 0.010386353358626366, -0.03987419605255127, 0.016503268852829933, 0.033972710371017456, 0.030943630263209343, -0.09431932121515274, -0.0037732950877398252, -0.022483093664050102, 0.04674185439944267, -0.0380985289812088, -0.01058872789144516, -0.011927006766200066, 0.012860538437962532, 0.022456981241703033, -0.008512762375175953, -0.0028740365523844957, -0.05817924812436104, -0.027627309784293175, -0.008258162997663021, 0.03329377993941307, 0.007298518903553486, 0.0009506680071353912, -0.040344227105379105, 0.024572115391492844, 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            "Name: Pastis, Address: 52 Gansevoort St, New York, NY 10014, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.007014, 40.7392418]}, Rating: 4.5, Reviews: ['I had been here pre-kids (13+ years ago) and we loved it then and we still love it now. Such a lovely atmosphere and the food is spot on. I love when I can find a place that remains consistent and is still great. Can’t wait to come back again on our next visit.\\n\\nService was great. I was thinking of something and she brought it right to me without having to say it out loud! Now that’s service!!\\n\\nIf you have larger parties, I would recommend you make a reservation to avoid a wait. Most tables are smaller tops.\\n\\nEverything we ate was great!', 'The trout was good, so was the scallops. As for the steak, it came a bit more done than expected, as it would be good if the meat cab also come with some salad and not just fries. It helps to balance off the greasiness of the meat and garlic butter. Service was great as well.', 'The most impressive part of the experience is the hostess stand - multiple monitors and hostess, figuring out seating availability like high frequency traders. Hats off.\\n\\nWe didn’t have a reservation for the busy brunch time. The hostesses magically found an outdoor table for us. Perfect weather for some bubbles, steak tartare and modern French fares on the side walk for a Sunday, people watching and post Whitney Biennial visit.', 'My favorite French restaurant in NYC! I know there are plenty of French spots in the city, but Pastis is hands down the best. We absolutely love the escargot—perfectly mixed with garlic and butter, it had us finishing the entire basket of bread. The onion soup, steak, and oysters are all excellent as well. Their brunch is another highlight. The egg white omelette and eggs benedict are our go-tos. It’s the perfect place to start a day with decent breakfast.', 'Overall a really lovely dinner. Damien our server was lovely, attentive, great energy, and no mistakes. Delicious food, great non alcoholic options. Brothers got cocktails and loved them. Dishes we loved: steak au poivre, warm shrimp salad, crispy artichokes, sardines, cauliflower au gratin, sorbet and ice cream.\\n\\nJust would have preferred an indoor table. Upon asking the hosts we’re quite cold and harsh, didn’t give much flexibility. Told us they could only cancel our reservation and rebook for 8:15 which was 30 mins wait from our arrival.'], Embedding: [-0.02187160588800907, 0.01753430999815464, -0.027848610654473305, -0.039934854954481125, 0.01864508166909218, -0.025957655161619186, -0.06045766547322273, 0.005500960163772106, -0.016066506505012512, -0.022109627723693848, -0.011405235156416893, -0.04937640577554703, 0.02336585707962513, -0.04837142303586006, -0.03773975744843483, 0.04482753574848175, 0.0388769768178463, -0.004892680794000626, 0.004228201694786549, 0.034830596297979355, 0.04760446026921272, -0.01033413503319025, -0.04011998325586319, -0.01029446441680193, 0.011854832991957664, 0.03350825235247612, -0.019570723176002502, -0.006519166752696037, 0.035200852900743484, 0.024013806134462357, 0.03623228520154953, -0.009666350670158863, -0.012641629204154015, -0.014691265299916267, -0.01670123264193535, 0.006079486571252346, 0.002646345179527998, 0.010644886642694473, 0.029012273997068405, 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            "Name: Osteria Carlina West Village, Address: 455 Hudson St, New York, NY 10014, USA, Coordinates: {'type': 'Point', 'coordinates': [-74.006992, 40.73140799999999]}, Rating: 4.8, Reviews: ['Sat at the outside. Service started okay, we got still and sparking, they forgot about the sparkling. No big deal.\\n\\nWe ordered a prosciutto sandwich and a burger (medium rare). Sandwich was good.\\n\\nWhen I cut into the burger there were chunks of chopped meat that fell out. The inside was still raw with white un rendered fat. They likely didn’t take the internal temp and the grill was too hot so only the outside got seared.\\n\\nI asked the server if they could pop it back on the grill to medium instead. They put the whole sandwich in the oven to warm it and sent it back to me, saying that the cook said I had ordered medium rare 🙂.\\n\\nEither I don’t know temperatures or they don’t… I think the pictures are clear (pictures are from after they tried to get it to temp).', 'Great Italian restaurant to enjoy a delicious meal by yourself at the bar.\\n\\nThe atmosphere is relaxing and the food well-cooked. Highly impressed by the slow-cooked veal.', 'Tiny place.  Small menu but very cozy.  Excellent service.  Came here 3 times with the family of 5.  The staff is incredible and you feel like you are in Italy.  The food is generally good but I wasn’t amazed.  I would give it a 4.5 for food and not 4.8.  It’s probably one of the better Italian restaurants in the neighborhood.', 'We had an amazing dinner here! The food was delicious and we enjoyed every aspect of our meal! Service was excellent and the restaurant was beautifully decorated', 'Customer service was amazing from beginning to start. My steak was only warm, though taste good. Small place and little privacy for conversation.'], Embedding: [-0.04575274884700775, -0.03305463120341301, -0.08508232980966568, -0.034808654338121414, 0.00919625349342823, -0.019603027030825615, -0.07831329107284546, 0.0019439359894022346, 0.028286661952733994, -0.06482463330030441, 0.008671282790601254, -0.0149462278932333, -0.004347993526607752, -0.010060911066830158, 0.0047278255224227905, 0.015810884535312653, 0.008183368481695652, 0.03305463120341301, -0.005024279467761517, 0.009202429093420506, 0.04002130404114723, -0.01856543868780136, 0.005076776724308729, 0.028484297916293144, 0.023049306124448776, 0.009381537325680256, -0.018911302089691162, -0.02742200531065464, -0.004808114841580391, -0.016342032700777054, 0.014773296192288399, -0.015069750137627125, -0.003100415924564004, -0.07529934495687485, -0.028385480865836143, 0.027866685763001442, 0.05370759963989258, 0.007151955273002386, 0.02712555043399334, 0.029373660683631897, 0.003971249796450138, 0.049631357192993164, 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          ]
        }
      ],
      "source": [
        "# Print our spritz information\n",
        "for location in spritz_locations:\n",
        "    print(\n",
        "        f\"Name: {location['name']}, Address: {location['address']}, Coordinates: {location['location']}, Rating: {location['rating']}, Reviews: {location['reviews']}, Embedding: {location['embedding']}\"\n",
        "    )"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WeQGl88VGHQD"
      },
      "source": [
        "Now that we have our documents formatted the way we want them to be, let's insert everything into MongoDB Atlas using the `pymongo` library.\n",
        "\n",
        "First, let's install `pymongo`"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gnm3ZQtOGPcX",
        "outputId": "6fba455b-7d70-41ef-e2a5-9f8525793532"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting pymongo\n",
            "  Downloading pymongo-4.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (22 kB)\n",
            "Collecting dnspython<3.0.0,>=1.16.0 (from pymongo)\n",
            "  Downloading dnspython-2.6.1-py3-none-any.whl.metadata (5.8 kB)\n",
            "Downloading pymongo-4.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m24.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading dnspython-2.6.1-py3-none-any.whl (307 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m307.7/307.7 kB\u001b[0m \u001b[31m19.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: dnspython, pymongo\n",
            "Successfully installed dnspython-2.6.1 pymongo-4.8.0\n"
          ]
        }
      ],
      "source": [
        "# install pymongo\n",
        "!pip install pymongo"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e9ZY1_KuGjjh"
      },
      "source": [
        "Now, let's set up our MongoDB Connection, in order to do this please make sure you have your connection string, if you need help finding it please refer to the documentation.\n",
        "\n",
        "Keep in mind that you can name your database and collection anything you like! I am naming my database \"spritz_summer\" and my collection \"spritz_locations_WV\". Run the code block below to insert your documents into your cluster."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WBLGPr8rGxKN",
        "outputId": "83d1382b-1290-4fb5-90c9-6bcaa0ca71e1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Enter connection string WITH USER + PASS here··········\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "InsertManyResult([ObjectId('66bcd2b05f6a590b646ef361'), ObjectId('66bcd2b05f6a590b646ef362'), ObjectId('66bcd2b05f6a590b646ef363'), ObjectId('66bcd2b05f6a590b646ef364'), ObjectId('66bcd2b05f6a590b646ef365'), ObjectId('66bcd2b05f6a590b646ef366'), ObjectId('66bcd2b05f6a590b646ef367'), ObjectId('66bcd2b05f6a590b646ef368'), ObjectId('66bcd2b05f6a590b646ef369'), ObjectId('66bcd2b05f6a590b646ef36a'), ObjectId('66bcd2b05f6a590b646ef36b'), ObjectId('66bcd2b05f6a590b646ef36c'), ObjectId('66bcd2b05f6a590b646ef36d'), ObjectId('66bcd2b05f6a590b646ef36e'), ObjectId('66bcd2b05f6a590b646ef36f'), ObjectId('66bcd2b05f6a590b646ef370'), ObjectId('66bcd2b05f6a590b646ef371'), ObjectId('66bcd2b05f6a590b646ef372'), ObjectId('66bcd2b05f6a590b646ef373'), ObjectId('66bcd2b05f6a590b646ef374')], acknowledged=True)"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from pymongo import MongoClient\n",
        "\n",
        "# set up your MongoDB connection\n",
        "connection_string = getpass.getpass(\n",
        "    prompt=\"Enter connection string WITH USER + PASS here\"\n",
        ")\n",
        "client = MongoClient(\n",
        "    connection_string, appname=\"devrel.showcase.geospatial_vector_search\"\n",
        ")\n",
        "\n",
        "# name your database and collection anything you want since it will be created when you enter your data\n",
        "database = client[\"spritz_summer\"]\n",
        "collection = database[\"spritz_locations_WV\"]\n",
        "\n",
        "# insert our spritz locations\n",
        "collection.insert_many(spritz_locations)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pYB60qUOHmj5"
      },
      "source": [
        "Perfect! Go ahead and check back in MongoDB Atlas in your cluster and make sure that everything looks the way we want it to look before we proceed. Please double check that your embedding field is there and that it's an array of 1536.\n",
        "\n",
        "## Which one comes first, Vector Search or Geospatial Queries?\n",
        "Both of these need to be the first stage in their aggregation pipelines, so instead of making one pipeline we are going to do a little loophole. We will do two pipelines. But how will we decide which?!\n",
        "\n",
        "When I'm using Google Maps to figure out where to go, I normally first search for what I'm looking for and then I see how far away it is from where I currently am and pick the closest location to me. So let's keep that mindset in place and start off with MongoDB Atlas Vector Search for this tutorial. But, I understand intuitively some of you might prefer to search via all nearby locations and then utilize Vector Search, so I'll highlight that method of searching for your spritz's as well.\n",
        "\n",
        "## MongoDB Atlas Vector Search\n",
        "We have a couple steps here. Our first step is to create a Vector Search Index. Do this inside of MongoDB Atlas by following this documentation. Please keep in mind that your index is NOT run in your script, it lives in your cluster. You'll know it's ready to go when the button turns green and it's activated."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MaWVmNG1J551"
      },
      "outputs": [],
      "source": [
        "# create a Vector Search Index so we can use it\n",
        "{\n",
        "    \"fields\": [\n",
        "        {\n",
        "            \"numDimensions\": 1536,\n",
        "            \"path\": \"embedding\",\n",
        "            \"similarity\": \"cosine\",\n",
        "            \"type\": \"vector\",\n",
        "        }\n",
        "    ]\n",
        "}"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rv6GyjAERAgD"
      },
      "source": [
        "Once it's activated, let's get to Vector Searching!\n",
        "\n",
        "So, let's say I just finished dinner with my besties at our favorite restaurant in the West Village, Balaboosta. The food was great and it's a warm summer day and we're in the mood for post dinner spritz's outside, and we would prefer to be seated quickly. Let's see if we can find a spot!\n",
        "\n",
        "Our first step with building our our pipeline is to embed our query. We can't compare text to vectors, we have to compare vectors to vectors. Do this with only a couple lines since we are using the same embedding model that we embedded our reviews with:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Xe3aRbLJSHg5"
      },
      "outputs": [],
      "source": [
        "# You have to embed your queries just the same way you embedded your documents.\n",
        "# my query\n",
        "query_description = \"outdoor seating quick service\"\n",
        "\n",
        "\n",
        "# we need to embed the query as well, since our documents are embedded\n",
        "query_vector = get_embedding(query_description)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KU6r42SPSTSa"
      },
      "source": [
        "Now, let's build out our aggregation pipeline. Since we are going to be using a $geoNear pipeline next, we want to keep in the IDs found from this search:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "aO-Y9sBqSSw5"
      },
      "outputs": [],
      "source": [
        "spritz_near_me_vector = [\n",
        "    {\n",
        "        \"$vectorSearch\": {\n",
        "            \"index\": \"vector_index\",\n",
        "            \"path\": \"embedding\",\n",
        "            \"queryVector\": query_vector,\n",
        "            \"numCandidates\": 15,\n",
        "            \"limit\": 5,\n",
        "        }\n",
        "    },\n",
        "    {\n",
        "        \"$project\": {\n",
        "            \"_id\": 1,  # we want to keep this in place so we can search again using GeoNear\n",
        "            \"name\": 1,\n",
        "            \"rating\": 1,\n",
        "            \"reviews\": 1,\n",
        "            # \"address\": 1,\n",
        "            # \"location\": 1,\n",
        "            # \"embedding\": 1\n",
        "        }\n",
        "    },\n",
        "]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6lF_g-oNSrVu"
      },
      "source": [
        "Let's print out our results and see what happens from our query of \"outdoor seating quick service\" :"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "89jlB-X-S2WL",
        "outputId": "21115238-6c49-49e5-f152-86a1a5d3b930"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "{'_id': ObjectId('66bcd2b05f6a590b646ef369'), 'name': 'While We Were Young Kitchen & Cocktails', 'rating': 4.3, 'reviews': [\"We went here for my birthday! It's a small space but the light lavender paint brightens and makes it feel wider than it is. The truffle fries and kale salad are to DIE for. If you're a rabbit like me you'll love it. They are really good at fries too. While everything may be slightly pricey the protons are totally worth it. I wish me and my boyfriend actually ordered to share everything lol. We just wish his burger was cooked a little bit better. The drinks were well made if i had another i wouldn't have made it home lol.\", '3.5 / 5.0 - I came here for weekend brunch with a friend and we had a nice time catching up.\\n\\nWhile We Were Young is such a cute place, with a stylish decor. The dining area is quite small inside, but because of the large windows and layout of the tables, it didn’t feel claustrophobic at all.\\n\\nThe service was great. The staff was welcoming and offered us 2 table options.\\n\\nThe food was a bit of a disappointment. We both ordered the Spring Salad ($22+) with dressing on the side. It was mostly lettuce and quinoa, with very little goat cheese and strawberries. The lettuce was not very fresh, either. Considering the price, I’d had higher expectations. Unless you want mainly lettuce and quinoa, I would recommend trying a different dish.', 'The sun was injecting life into New York City so I needed a Spritz injected straight into my bloodstream.\\n\\nWe were just wandering around the West Village, looking for any place where we could be photosynthesized by the sun. I had St. Jardim bookmarked as I walk by there all the time and their outdoor seating is about as idyllic as it gets, but they went all Hollywood on us and were fully occupied.\\n\\nWhile We Were Young was right next door and had an open table, so we snagged it quick because it was one of those days where everyone is looking to grab a spritz in direct sunlight. I cannot hate a man who has the same dreams as me.\\n\\nThey have eclectic drink names here that range from \"Plan B\" to \"Texts From Last Night\" to \"F@$king in the Morning.\" This got a good laugh out of me. I respect this riskiness. You gotta take risks to be great. You gotta risk it for the biscuit.\\n\\nI just got my spritz because you know why I\\'m here, but my girlfriend got a drink named \"One Night Stand\" .... DAMN THAT HURT... I\\'m still licking my wounds from that tbh... but it did taste fantastic at least. Tequila, Watermelon, Chili Agave and Lime is a beautiful mixture.\\n\\nWe got a second round because the spritz and the One Night Stand were both performing at a high level, and the weather compelled us to stay outside. I could be hit by a bus tomorrow. Another extinction event could hit at any time really. Might as well enjoy these days while I can.\\n\\nIG @jnov_\\nTiktok @jnov_reviews', 'Came here for brunch with my friend - it was just ok.\\nService was great and friendly, but after an hour and a half of dining we were told that the next reservation was coming in. Kind of trashy to kick guests out after only an hour and a half.\\nAlso, needed to put in a $70 deposit for the reservation for 2 - always think it’s kind of gross  when restaurants demand credit cards for booking.\\nThe space was also much smaller than the photos online show - maybe 5-7 tables inside total and a small bar area.\\nand it was definitely not as nicely decorated as the photos online. No fresh flowers or pretty wall decor.\\nfood was good , but the portions were tiny for the prices.\\nThe cocktails were not bad , not amazing but not the best either.', 'I came for the outside seating on a pitch-perfect summer evening and the people-watching, but the food was excellent. The kale salad was unique --wonderfully complex and satisfying.  The Brussels were great, if more normative.   The staff let us linger and enjoy the night.']}\n",
            "{'_id': ObjectId('66bcd2b05f6a590b646ef361'), 'name': 'Bar Pisellino', 'rating': 4.3, 'reviews': ['this place gets sooo busy in the summer even on a weeknight so come knowing there will likely be a line or wait time. wait was longer than expected and the drinks are definitely pricey too on avg of 18-20 per drink. the aperol spritz was great and i love the ambience and location of this bar but indoor seating is limited. overall a cute bar to come with friends on a nice warm day and enjoy a drink or two. wish they had happy hours!', 'Came for a martini on the 4th of July. Was pretty busy but grateful they were open! I believe our server was Benji who was doing a good job! Was the only server tending to the outside area so waited a little bit but not bad at all consider it was a holiday. Just had a martini with vodka and it was delicious. Came served with a little side car!', 'Love the interior and atmosphere here. Sets you back into Italy right away. Lovely pastry and coffee and even their iced tea is fab', 'I’ve been to Bar Pisellino for early breakfast a few times, which has been fantastic. The space itself is beautiful and probably one of my favorite parts of visiting, and the coffee and food are delicious too. It’s a great place to visit early and sit inside for a bit while sipping a cappuccino and indulging in a panino or cornetto.\\n\\nPost-work/pre-dinner drinks are a different story. The place gets packed very early, the cocktails are a little too sweet, but worst of all is the crowd it attracts. Everyone seems to be bothered by the presence of others near them and it’s just a weird, negative kind of vibe. So I wouldn’t come for drinks again, nor would I recommend the place for drinks, but early breakfast is really nice.', 'Great little bar in the center of west village. A place to people watch. On a perfect sunny summer day, makes up three quintessential New York City scene. Expect a wait']}\n",
            "{'_id': ObjectId('66bcd2b05f6a590b646ef373'), 'name': 'Pastis', 'rating': 4.5, 'reviews': ['I had been here pre-kids (13+ years ago) and we loved it then and we still love it now. Such a lovely atmosphere and the food is spot on. I love when I can find a place that remains consistent and is still great. Can’t wait to come back again on our next visit.\\n\\nService was great. I was thinking of something and she brought it right to me without having to say it out loud! Now that’s service!!\\n\\nIf you have larger parties, I would recommend you make a reservation to avoid a wait. Most tables are smaller tops.\\n\\nEverything we ate was great!', 'The trout was good, so was the scallops. As for the steak, it came a bit more done than expected, as it would be good if the meat cab also come with some salad and not just fries. It helps to balance off the greasiness of the meat and garlic butter. Service was great as well.', 'The most impressive part of the experience is the hostess stand - multiple monitors and hostess, figuring out seating availability like high frequency traders. Hats off.\\n\\nWe didn’t have a reservation for the busy brunch time. The hostesses magically found an outdoor table for us. Perfect weather for some bubbles, steak tartare and modern French fares on the side walk for a Sunday, people watching and post Whitney Biennial visit.', 'My favorite French restaurant in NYC! I know there are plenty of French spots in the city, but Pastis is hands down the best. We absolutely love the escargot—perfectly mixed with garlic and butter, it had us finishing the entire basket of bread. The onion soup, steak, and oysters are all excellent as well. Their brunch is another highlight. The egg white omelette and eggs benedict are our go-tos. It’s the perfect place to start a day with decent breakfast.', 'Overall a really lovely dinner. Damien our server was lovely, attentive, great energy, and no mistakes. Delicious food, great non alcoholic options. Brothers got cocktails and loved them. Dishes we loved: steak au poivre, warm shrimp salad, crispy artichokes, sardines, cauliflower au gratin, sorbet and ice cream.\\n\\nJust would have preferred an indoor table. Upon asking the hosts we’re quite cold and harsh, didn’t give much flexibility. Told us they could only cancel our reservation and rebook for 8:15 which was 30 mins wait from our arrival.']}\n",
            "{'_id': ObjectId('66bcd2b05f6a590b646ef366'), 'name': 'Bar B', 'rating': 4.8, 'reviews': [\"Bar B is a small little establishment with highly limited seating, but if you can grab a table the experience is fantastic. A good selection of affordable wines and decent food to pair.\\n\\nThe staff are all wonderful and care about providing quality products and good service. I will call out on Google this comes out as a Cocktail bar, but it's really a wine lounge.\\n\\nI ordered the Chicken Skewers and a Chianti wine. Not something I'd normally pair, but oddly was fantastic. The skewers were moist and delicious. They were placed on top of a mini baguette slice that soaked in the juices for additional flavor.\\n\\nThe Chianti was mild and easy on the palette. The wine was easy to drink and perfect for the day. I was able to get one of the two tables outside to truly enjoy the experience. By the time I left the bar was full of people standing.\\n\\nOverall great place and would recommend going to if you get the opportunity.\", 'I had no idea about Bar B until a friendly guy sitting next to me on a flight from BKK told me about it. I was intrigued that it was an Italian-inspired standing bar with a Japanese owner.\\nI’d been to Basta Pasta over the years, but had no idea they had a bar—when you look carefully, the “b” is actually the same exact font.\\n\\nI finally came here this week with a friend and we absolutely loved it. It’s a small place and when we arrived past 6pm, it was already full. But the staff was able to set up a table for us outside.\\n\\nWe ordered:\\n- Sea Scallops Carpaccio ($13+)\\n- Chicken Skewers ($13+)\\n- Penne Amatriciana ($16+)\\n- Crème Brûlée ($11+)\\n\\nEverything we ordered was delicious and I would recommend them all.\\nDrinks, they have happy hour until 7pm, which was great—especially since it includes prosecco for $8+.\\n\\nThere was a consistent flow of people, with a line outside at times. It was a chilly evening and got so cold we asked to go inside once a space opened up.\\nThe staff was attentive and very helpful.\\n\\nIt’s a small place and may be hard to get in, but I will be back for sure, to try more of their delicious dishes.', 'The food is amazing! Must try Chicken liver pate and sea scallops', 'Randomly came across this standing-room-only wine bar. Loved it. We did get one of the two tables out front but the crowd inside all seemed very happy with the setup. Super friendly staff (and owner)… lots of regulars which is always a good sign.', 'Great tapas and wine. Is a fusion of tapas. I went on  Saturday night and enjoy Manny delicacies prosciutto with figs, cheese platter, beet salad and shrimps all tasty and affordable. Service was pleasant. Small be ready to eat standing up, place is packed. Nice decor, servers are pleasant.']}\n",
            "{'_id': ObjectId('66bcd2b05f6a590b646ef374'), 'name': 'Osteria Carlina West Village', 'rating': 4.8, 'reviews': ['Sat at the outside. Service started okay, we got still and sparking, they forgot about the sparkling. No big deal.\\n\\nWe ordered a prosciutto sandwich and a burger (medium rare). Sandwich was good.\\n\\nWhen I cut into the burger there were chunks of chopped meat that fell out. The inside was still raw with white un rendered fat. They likely didn’t take the internal temp and the grill was too hot so only the outside got seared.\\n\\nI asked the server if they could pop it back on the grill to medium instead. They put the whole sandwich in the oven to warm it and sent it back to me, saying that the cook said I had ordered medium rare 🙂.\\n\\nEither I don’t know temperatures or they don’t… I think the pictures are clear (pictures are from after they tried to get it to temp).', 'Great Italian restaurant to enjoy a delicious meal by yourself at the bar.\\n\\nThe atmosphere is relaxing and the food well-cooked. Highly impressed by the slow-cooked veal.', 'Tiny place.  Small menu but very cozy.  Excellent service.  Came here 3 times with the family of 5.  The staff is incredible and you feel like you are in Italy.  The food is generally good but I wasn’t amazed.  I would give it a 4.5 for food and not 4.8.  It’s probably one of the better Italian restaurants in the neighborhood.', 'We had an amazing dinner here! The food was delicious and we enjoyed every aspect of our meal! Service was excellent and the restaurant was beautifully decorated', 'Customer service was amazing from beginning to start. My steak was only warm, though taste good. Small place and little privacy for conversation.']}\n"
          ]
        }
      ],
      "source": [
        "spritz_near_me_vector_results = list(collection.aggregate(spritz_near_me_vector))\n",
        "for result in spritz_near_me_vector_results:\n",
        "    print(result)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XpbcD2gzUYHM"
      },
      "source": [
        "We have five fantastic options! Let's go ahead and save the IDs from our above pipeline in a simple line:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rpBe2qdqUrkl",
        "outputId": "0ef9af72-48fc-4c6e-e90d-796702f3f138"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[ObjectId('66bcd2b05f6a590b646ef369'), ObjectId('66bcd2b05f6a590b646ef361'), ObjectId('66bcd2b05f6a590b646ef373'), ObjectId('66bcd2b05f6a590b646ef366'), ObjectId('66bcd2b05f6a590b646ef374')]\n"
          ]
        }
      ],
      "source": [
        "# now, we want to take the _ids from our above pipeline so we can use it to geo search\n",
        "spritz_near_me_ids = [result[\"_id\"] for result in spritz_near_me_vector_results]\n",
        "print(spritz_near_me_ids)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zkh6ZTw3U6qG"
      },
      "source": [
        "Now that they're saved, we can build out our $geoNear pipeline and see which one of these options is closest to us from our starting location, Balaboosta, and which one we can walk over to!\n",
        "\n",
        "To figure out the coordinates of Balaboosta, I right clicked on Google Maps and saved in the coordinates and then made sure I was including the longitude and latitude in the proper order."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gKLayVPtU6Qe",
        "outputId": "74434033-7563-45b4-b743-b9070fd80aeb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "{'name': 'Pastis', 'address': '52 Gansevoort St, New York, NY 10014, USA', 'rating': 4.5, 'dist': {'calculated': 182.82575242382333}}\n",
            "{'name': 'While We Were Young Kitchen & Cocktails', 'address': '183 W 10th St, New York, NY 10014, USA', 'rating': 4.3, 'dist': {'calculated': 468.19791207065526}}\n",
            "{'name': 'Bar Pisellino', 'address': '52 Grove Street, 7th Ave S at, New York, NY 10014, USA', 'rating': 4.3, 'dist': {'calculated': 582.0735279994905}}\n"
          ]
        }
      ],
      "source": [
        "# https://www.mongodb.com/docs/manual/geospatial-queries/\n",
        "\n",
        "# create a 2dsphere on our location field, so this is now putting a 2dsphere index on our spritz_locationsWV\n",
        "collection.create_index({\"location\": \"2dsphere\"})\n",
        "\n",
        "# use the $geoNear operator to return documents that are at least 100 meters and at most 1000 meters from our specified GeoJSON point.\n",
        "spritz_near_me_geo = [\n",
        "    {\n",
        "        \"$geoNear\": {\n",
        "            \"near\": {\n",
        "                \"type\": \"Point\",\n",
        "                \"coordinates\": [-74.0059456749148, 40.73781277366724],\n",
        "            },\n",
        "            # here we are saying that we only want to use the sample size from above\n",
        "            \"query\": {\"_id\": {\"$in\": spritz_near_me_ids}},\n",
        "            \"minDistance\": 100,\n",
        "            \"maxDistance\": 1000,\n",
        "            \"spherical\": True,\n",
        "            \"distanceField\": \"dist.calculated\",\n",
        "        }\n",
        "    },\n",
        "    {\n",
        "        \"$project\": {\n",
        "            \"_id\": 0,\n",
        "            \"name\": 1,\n",
        "            \"address\": 1,\n",
        "            \"rating\": 1,\n",
        "            \"dist.calculated\": 1,\n",
        "            # \"location\": 1,\n",
        "            # \"embedding\": 1\n",
        "        }\n",
        "    },\n",
        "    {\"$limit\": 3},\n",
        "    {\"$sort\": {\"dist.calculated\": 1}},\n",
        "]\n",
        "\n",
        "spritz_near_me_geo_results = collection.aggregate(spritz_near_me_geo)\n",
        "for result in spritz_near_me_geo_results:\n",
        "    print(result)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xR9BPpb4Vgy-"
      },
      "source": [
        "Seems like the restaurant we're heading over to is Pastis since it's the closest and fits our criteria perfectly."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uSODU6nc1KvU"
      },
      "source": [
        "## Other way around! Geospatial Queries first, then Vector Search"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sjiqJHl_1OLp",
        "outputId": "ce10fc8f-35a6-40e6-ff6f-acb2df2700ad"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "{'_id': ObjectId('66bcd2b05f6a590b646ef369'), 'name': 'While We Were Young Kitchen & Cocktails', 'rating': 4.3, 'dist.calculated': 468.19791207065526}\n",
            "{'_id': ObjectId('66bcd2b05f6a590b646ef361'), 'name': 'Bar Pisellino', 'rating': 4.3, 'dist.calculated': 582.0735279994905}\n",
            "{'_id': ObjectId('66bcd2b05f6a590b646ef373'), 'name': 'Pastis', 'rating': 4.5, 'dist.calculated': 182.82575242382333}\n"
          ]
        }
      ],
      "source": [
        "# xreate a 2dsphere index on oue location field\n",
        "collection.create_index({\"location\": \"2dsphere\"})\n",
        "\n",
        "# our $geoNear pipeline\n",
        "spritz_near_me_geo = [\n",
        "    {\n",
        "        \"$geoNear\": {\n",
        "            \"near\": {\n",
        "                \"type\": \"Point\",\n",
        "                \"coordinates\": [-74.0059456749148, 40.73781277366724],\n",
        "            },\n",
        "            \"minDistance\": 100,\n",
        "            \"maxDistance\": 1000,\n",
        "            \"spherical\": True,\n",
        "            \"distanceField\": \"dist.calculated\",\n",
        "        }\n",
        "    },\n",
        "    {\"$project\": {\"_id\": 1, \"dist.calculated\": 1}},\n",
        "]\n",
        "\n",
        "# list of ID's and distances so we can use them as our sample size\n",
        "places_ids = list(collection.aggregate(spritz_near_me_geo))\n",
        "distances = {\n",
        "    result[\"_id\"]: result[\"dist\"][\"calculated\"] for result in places_ids\n",
        "}  # have to create a new dictionary to keep our distances\n",
        "spritz_near_me_ids = [result[\"_id\"] for result in places_ids]\n",
        "# print(spritz_near_me_ids)\n",
        "\n",
        "# our vector search index that was created inside of MongoDB Atlas\n",
        "vector_search_index = {\n",
        "    \"fields\": [\n",
        "        {\n",
        "            \"numDimensions\": 1536,\n",
        "            \"path\": \"embedding\",\n",
        "            \"similarity\": \"cosine\",\n",
        "            \"type\": \"vector\",\n",
        "        },\n",
        "        {\"type\": \"filter\", \"path\": \"_id\"},\n",
        "    ]\n",
        "}\n",
        "\n",
        "# vector search pipeline\n",
        "spritz_near_me_vector = [\n",
        "    {\n",
        "        \"$vectorSearch\": {\n",
        "            \"index\": \"vector_index\",\n",
        "            \"path\": \"embedding\",\n",
        "            \"queryVector\": query_vector,\n",
        "            \"numCandidates\": 15,\n",
        "            \"limit\": 3,\n",
        "            \"filter\": {\"_id\": {\"$in\": spritz_near_me_ids}},\n",
        "        }\n",
        "    },\n",
        "    {\n",
        "        \"$project\": {\n",
        "            \"_id\": 1,  # we want to keep this in place\n",
        "            \"name\": 1,\n",
        "            \"rating\": 1,\n",
        "            \"dist.calculated\": 1,\n",
        "            # \"reviews\": 1\n",
        "            # \"address\": 1,\n",
        "            # \"location\": 1,\n",
        "            # \"embedding\": 1\n",
        "        }\n",
        "    },\n",
        "]\n",
        "\n",
        "\n",
        "spritz_near_me_vector_results = collection.aggregate(spritz_near_me_vector)\n",
        "for result in spritz_near_me_vector_results:\n",
        "    result[\"dist.calculated\"] = distances.get(result[\"_id\"])\n",
        "    print(result)"
      ]
    }
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